Systems | Development | Analytics | API | Testing

IT decision-makers offer insights into their modernization plans, which include automating data integration and adopting lakehouse technology.

The usage of resources is one of the critical factors in IoT contexts; it is common to observe that devices can suddenly disconnect when their available resources are exceeded; monitoring, however, can be worse due to the additional resource consumption required for such tracking.

Maintaining physical devices can be costly, risky, and unsustainable in a way that negatively affects mobile app release cycles – and your bottom line. Learn why a real device testing cloud can help improve both the customer experience and the developer experience.

Cloud complexity is an inevitability. Regardless of where an organization may be on their cloud journey – on-prem, in the public cloud, or managing an expanding hybrid cloud – the reality is managing the enterprise isn’t getting any easier. Demand continues to rise for greater access to more data across the organization to do things like run analytics and machine learning and to automate more processes.

You want to enable analytics, data science, or applications with data so you can answer questions, predict outcomes, discover relationships, or grow your business. But to do any of that, data must be stored in a manner to support these outcomes. This may be a simple decision when supporting a small, well-known use case, but it quickly becomes complicated as you scale the data volume, variety, workloads, and use cases.

Software company Slack is on a mission to make work simpler, more pleasant, and more productive. Millions of users across more than 150 countries use Slack to collaborate with team members, connect other tools and services, and access information. Marketers at Slack rely on large amounts of data to build custom audiences, manage subscriber consent preferences, and measure campaign performance.

We all know the joke about how node_modules is the heaviest object in the universe. For example, a project that uses only fastify, knex, typescript, and uuid generates an 83MB node_modules folder! That's huge! And those four packages are far from a complete set for a relatively small back-end. A more realistic size for node_modules is north of 100MB, in some cases reaching 1GB.

A ServiceConfigurationError is thrown in Java when a service provider cannot be loaded successfully. For instance, the format of the provider-configuration file appears to violate some aspect of the specification.

A FormatFlagsConversionMismatchException is an unchecked runtime exception which is thrown when a conversion and a flag are incompatible in the source code. This is a very common exception encountered when the programmer tries to format the string. Unless otherwise specified, passing a null argument to any method or constructor in this class will cause a NullPointerException to be thrown.